Sparse Principal Component Analysis via Variable Projection
Author:
Funder
Air Force Office of Scientific Research
Army Research Office
Washington Research Foundation
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Applied Mathematics
Link
https://epubs.siam.org/doi/pdf/10.1137/18M1211350
Reference64 articles.
1. Fast Principal Component Analysis of Large-Scale Genome-Wide Data
2. Efficient Quadratic Penalization Through the Partial Minimization Technique
3. Estimating nuisance parameters in inverse problems
4. Variable Projection Methods for an Optimized Dynamic Mode Decomposition
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